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Commit a80f463

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echo.lj
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修改 read me
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‎README.md‎

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[![Analytics](https://ga-beacon.appspot.com/UA-80121379-2/notes-python)](https://github.com/lijin-thu/notes-python)
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# 中文 Python 笔记
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`Github` 加载 `.ipynb` 的速度较慢,建议在 [Nbviewer](http://nbviewer.ipython.org/github/lijin-THU/notes-python/blob/master/index.ipynb) 中查看该项目。
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基于本笔记的实体书:《自学Python——编程基础、科学计算及数据分析》已经出版,京东自营链接:
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基于本笔记的实体书:《自学Python——编程基础、科学计算及数据分析》已经出版。
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京东自营链接:
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https://item.jd.com/12328920.html
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天猫:
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https://detail.tmall.com/item.htm?id=566648749647
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![](book.jpg)
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天猫、亚马逊、当当均有销售。
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---
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推荐使用 [Anaconda](http://www.continuum.io/downloads),这个IDE集成了大部分常用的包。
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笔记内容使用 `ipython notebook` 来展示。
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笔记内容使用 `jupyter notebook` 来展示。
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安装好 `Python` 和相应的包之后,可以在命令行下输入:
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```
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$ ipython notebook
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$ jupyter notebook
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```
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来进入 `ipython notebook`。
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来进入 `jupyter notebook`。
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----
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- [12. **Pandas**](12-pandas)
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- [12.01 十分钟上手 Pandas](12-pandas/12.01-ten-minutes-to-pandas.ipynb)
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- [12.02 一维数据结构:Series](12-pandas/12.02-series-in-pandas.ipynb)
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- [12.03 二维数据结构:DataFrame](12-pandas/12.03-dataframe-in-pandas.ipynb)
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觉得有用打赏一下?
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![](payment.jpeg)
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打个广告:
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- 基于本笔记第一二节录制的视频:[Python小白入门课视频教学](http://www.softlinkonline.cn/zhibo.html?id=43)
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- [12.03 二维数据结构:DataFrame](12-pandas/12.03-dataframe-in-pandas.ipynb)

‎book.jpg‎

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‎index.ipynb‎

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"[![Analytics](https://ga-beacon.appspot.com/UA-80121379-2/notes-python)](https://github.com/lijin-thu/notes-python)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# 中文 Python 笔记"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"[![Analytics](https://ga-beacon.appspot.com/UA-80121379-2/notes-python)](https://github.com/lijin-thu/notes-python)\n",
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"\n",
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"# 中文 Python 笔记\n",
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"\n",
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"> 版本:0.0.1<br>\n",
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"> 作者:李金<br>\n",
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"> 邮件:lijinwithyou@gmail.com<br>\n",
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"\n",
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"`Github` 加载 `.ipynb` 的速度较慢,建议在 [Nbviewer](http://nbviewer.ipython.org/github/lijin-THU/notes-python/blob/master/index.ipynb) 中查看该项目。\n",
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"\n",
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"基于本笔记的实体书:《自学Python——编程基础、科学计算及数据分析》已经出版,京东自营链接:\n",
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"基于本笔记的实体书:《自学Python——编程基础、科学计算及数据分析》已经出版。\n",
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"\n",
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"京东自营链接:\n",
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"https://item.jd.com/12328920.html\n",
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"天猫:\n",
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"\n",
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"https://detail.tmall.com/item.htm?id=566648749647\n",
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"天猫、亚马逊、当当均有销售。\n",
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"\n",
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"![](book.jpg)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"---\n",
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"\n",
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"## 简介\n",
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"\n",
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"推荐使用 [Anaconda](http://www.continuum.io/downloads),这个IDE集成了大部分常用的包。\n",
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"\n",
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"笔记内容使用 `ipython notebook` 来展示。\n",
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"笔记内容使用 `jupyter notebook` 来展示。\n",
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"\n",
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"安装好 `Python` 和相应的包之后,可以在命令行下输入:\n",
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"\n",
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"```\n",
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"$ ipython notebook\n",
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"$ jupyter notebook\n",
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"```\n",
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"来进入 `ipython notebook`。"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"来进入 `jupyter notebook`。\n",
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"\n",
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"----\n",
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"\n",
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"## 基本环境配置\n",
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"``` \n",
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"conda update conda\n",
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"conda update anaconda\n",
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"```"
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]
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"source": [
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"```\n",
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"\n",
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"---\n",
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"## 参考\n",
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"- [Deep Learning Tutorials](http://deeplearning.net/tutorial/)\n",
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"- [High Performance Scientific Computing](http://faculty.washington.edu/rjl/uwhpsc-coursera/index.html)\n",
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"- [Scipy Lectures](http://www.scipy-lectures.org/)\n",
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"- [Pandas.org](http://pandas.pydata.org/pandas-docs/stable/index.html)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"- [Pandas.org](http://pandas.pydata.org/pandas-docs/stable/index.html)\n",
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"\n",
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"----\n",
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"\n",
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"## 目录"
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]
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"source": [
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"## 目录\n",
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"\n",
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"可以在 Notebook 中打开 `generate static files.ipynb`,或者命令行中运行代码 `generate_static_files.py` 来生成静态的 HTML 文件。\n",
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"\n",
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"---"
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]
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{
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"---\n",
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"\n",
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"- [01. **Python 工具**](01-python-tools)\n",
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"\t - [01.01 Python 简介](01-python-tools/01.01-python-overview.ipynb)\n",
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"\t - [01.02 Ipython 解释器](01-python-tools/01.02-ipython-interpreter.ipynb)\n",
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"\t - [12.02 一维数据结构:Series](12-pandas/12.02-series-in-pandas.ipynb)\n",
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"\t - [12.03 二维数据结构:DataFrame](12-pandas/12.03-dataframe-in-pandas.ipynb)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"觉得有用打赏一下?\n",
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"\n",
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"![](payment.jpeg)\n",
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"\n",
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"打个广告:\n",
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"\n",
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"- 基于本笔记第一二节录制的视频:[Python小白入门课视频教学](http://www.softlinkonline.cn/zhibo.html?id=43)"
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]
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}
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],
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"metadata": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.14"
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"version": "2.7.15"
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}
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},
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"nbformat": 4,

‎payment.jpeg‎

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